Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"
☆99Jan 13, 2021Updated 5 years ago
Alternatives and similar repositories for hamburger-pytorch
Users that are interested in hamburger-pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of a Transformer using ReLA (Rectified Linear Attention) from https://arxiv.org/abs/2104.07012☆49Apr 6, 2022Updated 4 years ago
- Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing☆49Jan 27, 2022Updated 4 years ago
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆25Jan 6, 2021Updated 5 years ago
- Implementation of the Remixer Block from the Remixer paper, in Pytorch☆36Sep 27, 2021Updated 5 years ago
- Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch☆98Feb 19, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆22May 3, 2022Updated 4 years ago
- A Pytorch implementation of Attention on Attention module (both self and guided variants), for Visual Question Answering☆43Nov 8, 2020Updated 5 years ago
- Implementation of Kronecker Attention in Pytorch☆20Sep 12, 2020Updated 6 years ago
- Fine-Tuning Pre-trained Transformers into Decaying Fast Weights☆20Oct 9, 2022Updated 4 years ago
- A simple Transformer where the softmax has been replaced with normalization☆20Sep 11, 2020Updated 6 years ago
- An attempt to merge ESBN with Transformers, to endow Transformers with the ability to emergently bind symbols☆16Aug 3, 2021Updated 5 years ago
- Implementation of LogAvgExp for Pytorch☆37Apr 10, 2025Updated last year
- Implementation of Nyström Self-attention, from the paper Nyströmformer☆145Mar 24, 2025Updated last year
- Implementation of the retriever distillation procedure as outlined in the paper "Distilling Knowledge from Reader to Retriever"☆32Dec 16, 2020Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Another attempt at a long-context / efficient transformer by me☆38Apr 11, 2022Updated 4 years ago
- Implementation of N-Grammer, augmenting Transformers with latent n-grams, in Pytorch☆82Dec 4, 2022Updated 3 years ago
- Implementation of OmniNet, Omnidirectional Representations from Transformers, in Pytorch☆58Mar 19, 2021Updated 5 years ago
- Implementation of Hourglass Transformer, in Pytorch, from Google and OpenAI☆99Dec 31, 2021Updated 4 years ago
- A GPT, made only of MLPs, in Jax☆59Jun 23, 2021Updated 5 years ago
- ☆182Feb 23, 2023Updated 3 years ago
- A python library for highly configurable transformers - easing model architecture search and experimentation.☆48Nov 30, 2021Updated 4 years ago
- Implementation of Multistream Transformers in Pytorch☆54Jul 31, 2021Updated 5 years ago
- An implementation of (Induced) Set Attention Block, from the Set Transformers paper☆73Jun 8, 2026Updated 4 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Pytorch implementation of Performer from the paper "Rethinking Attention with Performers".☆24Oct 5, 2020Updated 6 years ago
- A Pytorch implementation of Global Self-Attention Network, a fully-attention backbone for vision tasks☆93Nov 21, 2020Updated 5 years ago
- ICLR 2021 (spotlight): Graph Convolution with Low-rank Learnable Local Filters☆16Jan 14, 2021Updated 5 years ago
- Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute☆1,530Nov 18, 2020Updated 5 years ago
- Code repository for the ICLR 2022 paper "FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes" https://openreview.ne…☆116Nov 30, 2022Updated 3 years ago
- Graph neural network message passing reframed as a Transformer with local attention☆70Dec 24, 2022Updated 3 years ago
- Implementation of Marge, Pre-training via Paraphrasing, in Pytorch☆76Jan 14, 2021Updated 5 years ago
- Neural Arithmetic Logic Units by Trask et al.☆12Apr 10, 2019Updated 7 years ago
- ☆12Sep 26, 2019Updated 7 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A simple implementation of a deep linear Pytorch module☆21Oct 16, 2020Updated 6 years ago
- Implementation of DropLoss for Long-Tail Instance Segmentation in Pytorch☆44Apr 14, 2021Updated 5 years ago
- [NeurIPS'20] Learning Semantic-aware Normalization for Generative Adversarial Networks☆52May 14, 2021Updated 5 years ago
- Implementation of Feedback Transformer in Pytorch☆108Mar 2, 2021Updated 5 years ago
- The correct way to resize images or tensors. For Numpy or Pytorch (differentiable).☆18May 5, 2022Updated 4 years ago
- Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"☆12Aug 17, 2021Updated 5 years ago
- BoundarySqueeze: Image Segmentation as Boundary Squeezing☆56Apr 9, 2022Updated 4 years ago